Motivated by blockchain technology for supply-chain tracing of ethically sourced diamonds, we study geometric polyhedral point-set pattern matching as minimum-width polyhedral annulus problems under translations and rotations. We provide two $(1 + \varepsilon)$-approximation schemes under translations with $O(\varepsilon^{-d} n)$-time for $d$ dimensions and $O(n\log \varepsilon^{-1} + \varepsilon^{-2})$-time for two dimensions, and we give an $O(f^{d-1}\varepsilon^{1-2d}n)$-time algorithm when also allowing for rotations, parameterized on $f$, which we define as the slimness of the point set.
翻译:我们以供应链技术为动力,对有道德来源的钻石进行供应链追踪,研究几何多元点定型模式,将之与翻译和轮换下的最低维度多元点定型相匹配。我们提供两个(1美元+\varepsilon)美元(n)美元(d)美元(d)美元)的翻译方案,对美元维度和美元(n)美元(nlog\varepsilon)和美元(varepsilon)-1}+\varepsilon}(2)美元进行两个维度匹配,我们给出一个美元(f)-lä-lävarepsilon*1-2n)的时间算算法,同时允许以美元为参数的旋转,我们将其定义为点集的微弱性。